"A system for information collection, organization, tracking, categorization, and output" matching MCP servers:

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.

Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.

A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.

Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Provides access to the Start.gg GraphQL API for querying tournament information, event standings, and player statistics. It also enables bracket management tasks like retrieving match sets and reporting winners through natural language.

CLI and MCP server for EdgeFinder sports analysis. Get AI-powered NFL, NBA, and MLB betting recommendations, player stats, odds, schedules, and Polymarket portfolio tracking from your terminal or AI agent.

Enables querying NBA player information, team rosters, and game scores for seasons through the BallDontLie API.

Provides comprehensive access to ESPN's sports APIs for live scores, team information, news, and statistics across NFL, NBA, MLB, NHL, college sports, and major soccer leagues with advanced filtering and real-time updates.

A server that integrates Sleeper fantasy sports data with Goose AI through the Machine Context Protocol (MCP), providing structured access to fantasy league information.

Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.

Enables querying RGL.gg competitive TF2 data through natural language, resolving player, team, season, division, and match information via a series of API calls.

MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.

Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.

Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.

Provides MCP servers for Claude to access fitness data from Strava and intervals.icu, enabling natural language queries for activity analysis, advanced training metrics, and wellness tracking.